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Layer: Subwatershed_S_ExportFeature (ID:5)

View In:   Map Viewer

Name: Subwatershed_S_ExportFeature

Display Field: NAME

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description:

The goal of the project is to support strategic identification and prioritization of sites for implementation in DEC’s Trees for Tribs program, which enlists the help of volunteers to plant native trees and shrubs in riparian buffers of streams to improve wildlife habitat, water quality, climate resiliency, and to provide flood protection during storm events. Further details on the project can be found here: http://nynhp.org/treesfortribsny

Subwatersheds have up to two scores for any indicator- the raw value, and the normalized value. Normalized values are named with a "N_" before the indicator code.

Example: Canopy Cover.

H1_CAN is the raw value, the average canopy cover in the subwatershed.

N_H1_CAN is the normalized value. This is a rescaling of the raw value so that the subwatershed with the lowest raw value in the state gets a normalized value of 0, and subwatershed with the highest raw value in the state gets a normalized value of 1. Normalized scores were used to calculate composite scores like Ecological Health or the Comprehensive Score, which are the sum of muiltiple indicators whose raw values are measured in different scales.

For more details, see project report at http://nynhp.org/treesfortribsny.



Copyright Text: New York Natural Heritage Program, 2017

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Default Visibility: true

Max Record Count: 2000

Supported query Formats: JSON, geoJSON, PBF

Use Standardized Queries: True

Extent:

Drawing Info:

HasZ: false

HasM: false

Has Attachments: false

Has Geometry Properties: true

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Object ID Field: OBJECTID

Unique ID Field:

Global ID Field:

Type ID Field:

Fields:
Templates:

Is Data Versioned: false

Has Contingent Values: false

Supports Rollback On Failure Parameter: true

Last Edit Date: 5/12/2023 12:33:26 AM

Schema Last Edit Date: 5/12/2023 12:33:26 AM

Data Last Edit Date: 5/12/2023 12:33:26 AM

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